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Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities
PURPOSE: Quantitative ultrasound (QUS) provides objective indices of Vision Degrading Myodesopsia (VDM) that correlate with contrast sensitivity (CS). To date, QUS methods were only tested on a single ultrasound machine. Here, we evaluate whether QUS measurements are machine independent. METHODS: In...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540872/ https://www.ncbi.nlm.nih.gov/pubmed/37750745 http://dx.doi.org/10.1167/tvst.12.9.21 |
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author | Hoerig, Cameron Nguyen, Justin H. Mamou, Jonathan Venuat, Cedric Sebag, J. Ketterling, Jeffrey A. |
author_facet | Hoerig, Cameron Nguyen, Justin H. Mamou, Jonathan Venuat, Cedric Sebag, J. Ketterling, Jeffrey A. |
author_sort | Hoerig, Cameron |
collection | PubMed |
description | PURPOSE: Quantitative ultrasound (QUS) provides objective indices of Vision Degrading Myodesopsia (VDM) that correlate with contrast sensitivity (CS). To date, QUS methods were only tested on a single ultrasound machine. Here, we evaluate whether QUS measurements are machine independent. METHODS: In this cross-sectional study, 47 eyes (24 subjects; age = 53.2 ± 14.4 years) were evaluated with Freiburg acuity contrast testing (%Weber), and ultrasonography using 2 machines: one with a 15-MHz single-element transducer and one with a 5-ring, 20-MHz annular-array. Images were acquired from each system in sequential scans. Artifact-free, log-compressed envelope data were processed to yield three parameters (mean amplitude, M; energy, E; and percentage filled by echodensities, P50) and a composite score (C). A B-mode normalization method was applied to the 20-MHz datasets to match QUS parameters at both frequencies. Statistical analyses were performed to evaluate correlations among CS, E, M, P50, and C for both machines. RESULTS: QUS parameters from each machine correlated with CS (R ≥ 0.57, P < 0.001) and there was correlation between machines (R ≥ 0.84, P < 0.001). Correlations between CS and QUS parameters were statistically similar for both machines (P ≥ 0.14) except when the 20-MHz data were normalized (P = 0.04). Reproducibility of QUS parameters computed from 20-MHz data were satisfactory (52.3%–96.3%) with intraclass correlation values exceeding 0.80 (P < 0.001). CONCLUSIONS: The high correlation between QUS parameters from both machines combined with a statistically similar correlation to CS suggests QUS is an effective, machine-independent, quantitative measure of vitreous echodensities. TRANSLATIONAL RELEVANCE: QUS may be applied across clinical ophthalmic ultrasound scanners and imaging frequencies to effectively evaluate VDM. |
format | Online Article Text |
id | pubmed-10540872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Association for Research in Vision and Ophthalmology |
record_format | MEDLINE/PubMed |
spelling | pubmed-105408722023-09-30 Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities Hoerig, Cameron Nguyen, Justin H. Mamou, Jonathan Venuat, Cedric Sebag, J. Ketterling, Jeffrey A. Transl Vis Sci Technol Retina PURPOSE: Quantitative ultrasound (QUS) provides objective indices of Vision Degrading Myodesopsia (VDM) that correlate with contrast sensitivity (CS). To date, QUS methods were only tested on a single ultrasound machine. Here, we evaluate whether QUS measurements are machine independent. METHODS: In this cross-sectional study, 47 eyes (24 subjects; age = 53.2 ± 14.4 years) were evaluated with Freiburg acuity contrast testing (%Weber), and ultrasonography using 2 machines: one with a 15-MHz single-element transducer and one with a 5-ring, 20-MHz annular-array. Images were acquired from each system in sequential scans. Artifact-free, log-compressed envelope data were processed to yield three parameters (mean amplitude, M; energy, E; and percentage filled by echodensities, P50) and a composite score (C). A B-mode normalization method was applied to the 20-MHz datasets to match QUS parameters at both frequencies. Statistical analyses were performed to evaluate correlations among CS, E, M, P50, and C for both machines. RESULTS: QUS parameters from each machine correlated with CS (R ≥ 0.57, P < 0.001) and there was correlation between machines (R ≥ 0.84, P < 0.001). Correlations between CS and QUS parameters were statistically similar for both machines (P ≥ 0.14) except when the 20-MHz data were normalized (P = 0.04). Reproducibility of QUS parameters computed from 20-MHz data were satisfactory (52.3%–96.3%) with intraclass correlation values exceeding 0.80 (P < 0.001). CONCLUSIONS: The high correlation between QUS parameters from both machines combined with a statistically similar correlation to CS suggests QUS is an effective, machine-independent, quantitative measure of vitreous echodensities. TRANSLATIONAL RELEVANCE: QUS may be applied across clinical ophthalmic ultrasound scanners and imaging frequencies to effectively evaluate VDM. The Association for Research in Vision and Ophthalmology 2023-09-26 /pmc/articles/PMC10540872/ /pubmed/37750745 http://dx.doi.org/10.1167/tvst.12.9.21 Text en Copyright 2023 The Authors https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License. |
spellingShingle | Retina Hoerig, Cameron Nguyen, Justin H. Mamou, Jonathan Venuat, Cedric Sebag, J. Ketterling, Jeffrey A. Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities |
title | Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities |
title_full | Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities |
title_fullStr | Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities |
title_full_unstemmed | Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities |
title_short | Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities |
title_sort | machine independence of ultrasound-based quantification of vitreous echodensities |
topic | Retina |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540872/ https://www.ncbi.nlm.nih.gov/pubmed/37750745 http://dx.doi.org/10.1167/tvst.12.9.21 |
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